{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# Multiclass Support Vector Machine exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "In this exercise you will:\n",
    "    \n",
    "- implement a fully-vectorized **loss function** for the SVM\n",
    "- implement the fully-vectorized expression for its **analytic gradient**\n",
    "- **check your implementation** using numerical gradient\n",
    "- use a validation set to **tune the learning rate and regularization** strength\n",
    "- **optimize** the loss function with **SGD**\n",
    "- **visualize** the final learned weights\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Run some setup code for this notebook.\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n",
      " 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": 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R8SxwfkQcAWi+ntdfmGY2q4mSPSI+iIhtwIXAdkmXTtqBpF2SViWtrq2tZeM0sxlNdTc+It4B/hHYARyVtBmg+Xqspc3uiFiJiJWlpaUZwzWzrLHJLumzks5qHp8G/BbwI+BJYGfzsp3AE30FaWazm2QgzGZgr6RNjH44PBIRfyfpn4BHJN0MvA7cMFmXbQNhuh04MXBhpQf11d4GHM/Sz9lNHjTXrO2EtJ+osckeEfuByzbY/l/A1ZOGZmbz5b+gM6uEk92sEk52s0o42c0q4WQ3q4RKI8c670x6E/iP5um5wM8G67yd4/gox/FRH7c4fiUiPrvRjkGT/SMdS6sRsTKXzh2H46gwDn+MN6uEk92sEvNM9t1z7Hs9x/FRjuOjPjFxzO13djMblj/Gm1ViLskuaYekf5P0qqS5zV0n6ZCklyW9KGl1wH73SDom6cC6bedIelrSj5uvZ88pjjsl/WdzTl6UdM0AcWyR9ANJByW9Iun3m+2DnpNCHIOeE0mfkfTPkl5q4vjjZvts5yMiBv0HbAJ+AnwBOBV4Cbhk6DiaWA4B586h3y8BlwMH1m37U+C25vFtwJ/MKY47gT8Y+HxsBi5vHp8B/DtwydDnpBDHoOeE0TjV05vHpwDPAlfMej7mcWXfDrwaEa9FxC+A7zGavLIaEfEM8NZJmwefwLMljsFFxJGIeKF5/B5wELiAgc9JIY5BxUjnk7zOI9kvAH667vlh5nBCGwF8X9LzknbNKYYPLdIEnrdI2t98zO/914n1JG1lNH/CXCc1PSkOGPic9DHJ6zySfaOpNOZVErgyIi4Hfgf4pqQvzSmORXIfcBGjNQKOAHcP1bGk04FHgVsj4t2h+p0gjsHPScwwyWubeST7YWDLuucXAm/MIQ4i4o3m6zHgcUa/YszLRBN49i0ijjZvtBPA/Qx0TiSdwijBHoyIx5rNg5+TjeKY1zlp+p56ktc280j254CLJX1e0qnAVxlNXjkoScuSzvjwMfBl4EC5Va8WYgLPD99MjesZ4JxoNJngA8DBiLhn3a5Bz0lbHEOfk94meR3qDuNJdxuvYXSn8yfAH84phi8wqgS8BLwyZBzAQ4w+Dv4vo086NwO/zGgZrR83X8+ZUxx/DbwM7G/eXJsHiOPXGf0qtx94sfl3zdDnpBDHoOcE+DXgX5r+DgB/1Gyf6Xz4L+jMKuG/oDOrhJPdrBJOdrNKONnNKuFkN6uEk92sEk52s0o42c0q8X/HP4TBuHmAHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()\n",
    "\n",
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image\n",
    "\n",
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM Classifier\n",
    "\n",
    "Your code for this section will all be written inside **cs231n/classifiers/linear_svm.py**. \n",
    "\n",
    "As you can see, we have prefilled the function `compute_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 9.372265\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the naive implementation of the loss we provided for you:\n",
    "from cs231n.classifiers.linear_svm import svm_loss_naive\n",
    "import time\n",
    "\n",
    "# generate a random SVM weight matrix of small numbers\n",
    "W = np.random.randn(3073, 10) * 0.0001 \n",
    "\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "print('loss: %f' % (loss, ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n",
    "\n",
    "To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numerical: 4.539744 analytic: 4.539744, relative error: 5.625411e-11\n",
      "numerical: -20.078852 analytic: -20.078852, relative error: 1.739434e-11\n",
      "numerical: 10.335577 analytic: 10.335577, relative error: 6.412402e-11\n",
      "numerical: 27.810495 analytic: 27.810495, relative error: 1.475921e-11\n",
      "numerical: -22.086078 analytic: -22.098971, relative error: 2.917911e-04\n",
      "numerical: -3.858419 analytic: -3.858419, relative error: 5.785164e-11\n",
      "numerical: 14.250846 analytic: 14.250846, relative error: 8.330308e-12\n",
      "numerical: -32.330194 analytic: -32.330194, relative error: 2.604245e-12\n",
      "numerical: 10.431119 analytic: 10.431119, relative error: 7.599965e-12\n",
      "numerical: 6.715105 analytic: 6.715105, relative error: 2.980569e-11\n",
      "numerical: -18.955157 analytic: -18.955157, relative error: 1.205514e-11\n",
      "numerical: 6.403333 analytic: 6.403333, relative error: 2.051595e-12\n",
      "numerical: -47.527242 analytic: -47.521575, relative error: 5.962597e-05\n",
      "numerical: -7.804382 analytic: -7.804382, relative error: 4.636237e-11\n",
      "numerical: -16.130177 analytic: -16.130177, relative error: 1.748806e-13\n",
      "numerical: -25.618821 analytic: -25.618821, relative error: 3.527153e-12\n",
      "numerical: 2.427230 analytic: 2.427230, relative error: 1.664070e-11\n",
      "numerical: 0.896345 analytic: 0.896345, relative error: 3.683534e-10\n",
      "numerical: 13.020112 analytic: 13.020112, relative error: 1.625980e-11\n",
      "numerical: 21.048710 analytic: 21.048710, relative error: 6.723733e-12\n"
     ]
    }
   ],
   "source": [
    "# Once you've implemented the gradient, recompute it with the code below\n",
    "# and gradient check it with the function we provided for you\n",
    "\n",
    "# Compute the loss and its gradient at W.\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n",
    "\n",
    "# Numerically compute the gradient along several randomly chosen dimensions, and\n",
    "# compare them with your analytically computed gradient. The numbers should match\n",
    "# almost exactly along all dimensions.\n",
    "from cs231n.gradient_check import grad_check_sparse\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)\n",
    "\n",
    "# do the gradient check once again with regularization turned on\n",
    "# you didn't forget the regularization gradient did you?\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1**\n",
    "\n",
    "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss: 9.372265e+00 computed in 0.153558s\n",
      "Vectorized loss: 9.372265e+00 computed in 0.002001s\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n",
    "# we will implement the gradient in a moment.\n",
    "tic = time.time()\n",
    "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n",
    "\n",
    "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n",
    "tic = time.time()\n",
    "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n",
    "\n",
    "# The losses should match but your vectorized implementation should be much faster.\n",
    "print('difference: %f' % (loss_naive - loss_vectorized))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss and gradient: computed in 0.154552s\n",
      "Vectorized loss and gradient: computed in 0.002000s\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n",
    "# of the loss function in a vectorized way.\n",
    "\n",
    "# The naive implementation and the vectorized implementation should match, but\n",
    "# the vectorized version should still be much faster.\n",
    "tic = time.time()\n",
    "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "tic = time.time()\n",
    "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "# The loss is a single number, so it is easy to compare the values computed\n",
    "# by the two implementations. The gradient on the other hand is a matrix, so\n",
    "# we use the Frobenius norm to compare them.\n",
    "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n",
    "print('difference: %f' % difference)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic Gradient Descent\n",
    "\n",
    "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 1500: loss 21.806167\n",
      "iteration 100 / 1500: loss 7.815800\n",
      "iteration 200 / 1500: loss 5.570497\n",
      "iteration 300 / 1500: loss 5.272086\n",
      "iteration 400 / 1500: loss 4.953897\n",
      "iteration 500 / 1500: loss 4.934805\n",
      "iteration 600 / 1500: loss 5.458063\n",
      "iteration 700 / 1500: loss 4.862745\n",
      "iteration 800 / 1500: loss 4.639419\n",
      "iteration 900 / 1500: loss 5.092230\n",
      "iteration 1000 / 1500: loss 5.335755\n",
      "iteration 1100 / 1500: loss 4.751913\n",
      "iteration 1200 / 1500: loss 5.548317\n",
      "iteration 1300 / 1500: loss 5.275325\n",
      "iteration 1400 / 1500: loss 4.673485\n",
      "That took 8.280653s\n"
     ]
    }
   ],
   "source": [
    "# In the file linear_classifier.py, implement SGD in the function\n",
    "# LinearClassifier.train() and then run it with the code below.\n",
    "from cs231n.classifiers import LinearSVM\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n",
    "                      num_iters=1500, verbose=True)\n",
    "toc = time.time()\n",
    "print('That took %fs' % (toc - tic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A useful debugging strategy is to plot the loss as a function of\n",
    "# iteration number:\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training accuracy: 0.367755\n",
      "validation accuracy: 0.380000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\zhijiezheng\\Anaconda3\\lib\\site-packages\\numpy\\core\\fromnumeric.py:90: RuntimeWarning: overflow encountered in reduce\n",
      "  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\n",
      "C:\\Users\\zhijiezheng\\feifeili\\2019assignment1\\cs231n\\classifiers\\linear_svm.py:117: RuntimeWarning: overflow encountered in multiply\n",
      "  dW += 2*reg*W\n",
      "C:\\Users\\zhijiezheng\\feifeili\\2019assignment1\\cs231n\\classifiers\\linear_svm.py:94: RuntimeWarning: invalid value encountered in less_equal\n",
      "  scores[scores <= 0] = 0\n",
      "C:\\Users\\zhijiezheng\\feifeili\\2019assignment1\\cs231n\\classifiers\\linear_svm.py:113: RuntimeWarning: invalid value encountered in greater\n",
      "  scores[scores > 0] = 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.000000e-07 reg 2.500000e+04 train accuracy: 0.369490 val accuracy: 0.392000\n",
      "lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.356755 val accuracy: 0.364000\n",
      "lr 5.000000e-05 reg 2.500000e+04 train accuracy: 0.084776 val accuracy: 0.095000\n",
      "lr 5.000000e-05 reg 5.000000e+04 train accuracy: 0.099898 val accuracy: 0.105000\n",
      "best validation accuracy achieved during cross-validation: 0.392000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.39 on the validation set.\n",
    "\n",
    "#Note: you may see runtime/overflow warnings during hyper-parameter search. \n",
    "# This may be caused by extreme values, and is not a bug.\n",
    "\n",
    "learning_rates = [1e-7, 5e-5]\n",
    "regularization_strengths = [2.5e4, 5e4]\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "for learning_rate in learning_rates:\n",
    "    for regularization_strength in regularization_strengths:\n",
    "        svm = LinearSVM()\n",
    "        loss_hist = svm.train(X_train, y_train, learning_rate=learning_rate, \n",
    "                              reg=regularization_strength, num_iters=1500, verbose=False)\n",
    "        y_train_pred = svm.predict(X_train)\n",
    "        training_accuracy = np.mean(y_train == y_train_pred)\n",
    "        y_val_pred = svm.predict(X_val)\n",
    "        validation_accuracy = np.mean(y_val == y_val_pred)\n",
    "        results[(learning_rate, regularization_strength)] = (training_accuracy, validation_accuracy)\n",
    "        if best_val < validation_accuracy:\n",
    "            best_val = validation_accuracy\n",
    "            best_svm = svm\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.364000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "      \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline question 2**\n",
    "\n",
    "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in*  \n"
   ]
  }
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